NDLI: The imageCLEF plant identification task 2013

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The imageCLEF plant identification task 2013

Content Provider	ACM Digital Library
Author	Joly, Alexis Bakic, Vera Barthélémy, Daniel Boujemaa, Nozha Goëau, Hervé Molino, Jean-François Bonnet, Pierre
Abstract	This paper presents a synthesis of ImageCLEF 2013 plant identification task, a system-oriented testbed dedicated to the evaluation of image-based plant identification technologies. With 12 participating groups coming from over 9 countries and 33 submitted runs, the 2013 campaign confirmed the increasing interest of the multimedia community in ecology-related challenges (respectively 10 and 11 groups crossed the finish line in 2011 and 2012). Contrary to the two previous years that were exclusively focused on leaf images, the coverage of the 2013 task was extended to six different types of view of the plant (flower, bark, fruit, entire, \dots) and significantly more plant species. This synthesis presents the resources and assessments of task, summarizes the retrieval approaches employed by the participating groups, and provides an analysis of the main evaluation results.
Starting Page	23
Ending Page	28
Page Count	6
File Format	PDF
ISBN	9781450324014
DOI	10.1145/2509896.2509902
Language	English
Publisher	Association for Computing Machinery (ACM)
Publisher Date	2013-10-22
Publisher Place	New York
Access Restriction	Subscribed
Subject Keyword	Retrieval Evaluation Flower Fruit Imageclef Bark Images Identification Stem Plant Fine-grained classification Benchmark Collection Leaf Species
Content Type	Text
Resource Type	Article

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